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#iterative refinement

Track4World: Feedforward World-centric Dense 3D Tracking of All Pixels

Intermediate

Jiahao Lu, Jiayi Xu et al.Mar 3arXiv

Track4World is a fast, feedforward AI that can follow the 3D path of every pixel in a video using just one camera.

#dense 3D tracking#scene flow#2D-to-3D correlation

Large Multimodal Models as General In-Context Classifiers

Intermediate

Marco Garosi, Matteo Farina et al.Feb 26arXiv

People often pick CLIP-like models for image labeling, but this paper shows that large multimodal models (LMMs) can be just as good—or even better—when you give them a few examples in the prompt (in-context learning).

#in-context learning#multimodal models#open-world classification

Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models

Intermediate

Sen Ye, Mengde Xu et al.Feb 17arXiv

Big idea: Make image-making AIs stop, think, check, and fix their own work so they get better at both creating pictures and understanding them.

#multimodal models#image generation#reasoning

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Intermediate

Chiwei Zhu, Benfeng Xu et al.Feb 2arXiv

FS-Researcher is a two-agent system that lets AI do very long research by saving everything in a computer folder so it never runs out of memory.

#FS-Researcher#file-system agents#external memory

VERGE: Formal Refinement and Guidance Engine for Verifiable LLM Reasoning

Intermediate

Vikash Singh, Darion Cassel et al.Jan 27arXiv

VERGE is a teamwork system where an AI writer (an LLM) works with a strict math checker (an SMT solver) to make answers both smart and logically sound.

#VERGE#neurosymbolic reasoning#SMT solver

Diffusion In Diffusion: Reclaiming Global Coherence in Semi-Autoregressive Diffusion

Intermediate

Linrui Ma, Yufei Cui et al.Jan 20arXiv

The paper proposes Diffusion in Diffusion, a draft-then-revise method that brings back global coherence to fast, block-based diffusion language models.

#discrete diffusion#block diffusion#semi-autoregressive

On the Role of Discreteness in Diffusion LLMs

Intermediate

Ziqi Jin, Bin Wang et al.Dec 27arXiv

The paper asks what a truly good diffusion-based language model should look like and lists five must-have properties.

#diffusion language models#smooth corruption#discrete tokens